Senior Online Data Engineer: Build Scalable Data Pipelines

Home Depot / THD; Atlanta (GA); On-site; USD 140,000 - 170,000; Full time

Job summary

Home Depot is seeking a Senior Online Data Engineer to set data operation standards, build data pipelines, and empower analytics for online data needs. The role emphasizes collaboration with cross‑functional partners, project leadership, and the development of scalable analytics solutions.

Responsibilities include guiding requirements, mentoring junior engineers, and delivering high‑quality data applications while advancing predictive analytics and data integration from diverse sources.

Qualifications

• Minimum 4 years of relevant work experience.
• Bachelor’s or Master’s in a quantitative field.
• Demonstrated experience in predictive modeling, data mining, and data analysis.
• Experience developing and testing ETL jobs/pipelines and orchestrating workflows.
• Proficiency in Python and BigQuery data stitching and enrichment.
• Experience building batch and streaming pipelines; strong SQL and performance tuning.

Responsibilities

• Translate business needs into effective data solutions and collaborate with internal stakeholders.
• Lead project goals, prioritize work, and mentor junior engineers.
• Develop and deliver scalable data pipelines and analytics solutions with quality and speed.
• Guide requirements gathering, design, and development of complex data applications.
• Advance predictive and prescriptive analytics with replicable methods.

Skills

Data analytics

Cross-functional collaboration

Mentoring

Communication

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

Python

Google BigQuery

PySpark

Airflow

DataProc

SQL

JavaScript

React

Nucleus

Retina

KPI Shield

Alert Goose

Job description

Home Depot is seeking a Senior Online Data Engineer to set data operation standards, build data pipelines, and empower analytics for online data needs. The role emphasizes collaboration with cross‑functional partners, project leadership, and the development of scalable analytics solutions.

Responsibilities include guiding requirements, mentoring junior engineers, and delivering high‑quality data applications while advancing predictive analytics and data integration from diverse sources.